Optimal Sizing of Storage Using Representative Days for Spain Industrial Prosumers

UDC.coleccionInvestigación
UDC.conferenceTitle2025 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe)
UDC.departamentoEnxeñaría Industrial
UDC.endPage5
UDC.grupoInvCiencia e Técnica Cibernética (CTC)
UDC.startPage1
dc.contributor.authorMounier, Théophile
dc.contributor.authorDavid, Hurdson
dc.contributor.authorFrancois, Bruno
dc.contributor.authorAliyan, Ehsan
dc.contributor.authorRamos, Sérgio
dc.contributor.authorQuintián, Héctor
dc.contributor.authorSoares, João
dc.date.accessioned2026-10-16T07:17:59Z
dc.date.available2026-10-16T07:17:59Z
dc.date.issued2025-12-30
dc.descriptionAccepted manuscript version. © 2025 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.description.abstract[Abstract] Photovoltaic panel is one of the most promising technology for leading the electrical transition. A recent reduction in the prices of wind turbines and photovoltaic modules has driven the implementation of these technologies as central elements in the energy transition, even in light of their intermittent production. This paper investigates the impact of battery prices on the sizing of a new Battery Energy Storage System (BESS) and assesses the economic viability of this solution in photovoltaic installations. To this end, an optimization model and a methodology using representative days were developed to size the battery, complemented by dividing the year into smaller intervals for a faster system evaluation. Historical data from the companies Alpha and Bravo in Spain, both consumers and PV producers, were employed to validate the case study enriching the literature and providing practical insights on energy efficiency. The study examines the impact of battery installation costs on the annual energy cost for both companies, showing that cost reduction is greater for Bravo (up to 6%) than for Alpha (1.7%), with significant gains when the battery cost is below €200/kWh. However, as current prices exceed €300/kWh, the economic attractiveness of this solution remains limited for the time being regarding these companies.
dc.description.sponsorshipThe work is supported by Interreg Atlantic Area program through the European Regional Development Fund (EAPA_0019/2022 SAtComm). The Portugese team acknowledges the research facilities and conditions provided by GECAD, partially funded by Fundacao para a Ciencia e Tecnologia (FCT), namely grant UIDB/00760/2020 (https://doi.org/10.54499/UIDB/00760/2020). Joao Soares has an FCT grant, namely CEECIND/00420/2022 (doi: https://doi.org/10.54499/2022.00420.CEECIND/CP1742/CT0001) to support his research work.
dc.description.sponsorshipInterreg Atlantic Area; EAPA_0019/2022
dc.description.sponsorshipPortugal. Fundação para a Ciência e a Tecnologia; UIDB/00760/2020
dc.description.sponsorshipPortugal. Fundação para a Ciência e a Tecnologia; CEECIND/00420/2022
dc.identifier.citationT. Mounier et al., "Optimal sizing of storage using representative days for Spain industrial prosumers," 2025 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe), Valletta, Malta, 2025, pp. 1-5, doi: 10.1109/ISGTEurope64741.2025.11305507.
dc.identifier.doi10.1109/ISGTEurope64741.2025.11305507
dc.identifier.isbn979-8-3315-2503-3
dc.identifier.isbn979-8-3315-2504-0
dc.identifier.urihttps://hdl.handle.net/2183/49781
dc.language.isoeng
dc.publisherIEEE
dc.relation.urihttps://doi.org/10.1109/ISGTEurope64741.2025.11305507
dc.rights© 2025 IEEE
dc.rights.accessRightsembargoed access
dc.subjectClustering methods
dc.subjectOptimization
dc.subjectSmart grid
dc.subjectStorage battery
dc.titleOptimal Sizing of Storage Using Representative Days for Spain Industrial Prosumers
dc.typeconference output
dspace.entity.typePublication
relation.isAuthorOfPublication6d1ae813-ec03-436f-a119-dce9055142de
relation.isAuthorOfPublication.latestForDiscovery6d1ae813-ec03-436f-a119-dce9055142de

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